8 Decentralized quantum machine learning: distributed quantum computing for enhanced learning
Abstract
Decentralized quantum machine learning (DQML) represents an innovative fusion of two cutting-edge technologies: quantum computing and decentralized/distributed systems. This chapter explores the emerging field of DQML and its potential to revolutionize traditional machine-learning paradigms by harnessing the power of quantum computing while leveraging the benefits of decentralized networks. This chapter delves into the underlying principles, challenges, and opportunities associated with DQML, offering insights into how this interdisciplinary approach can accelerate advancements in artificial ...
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